Modelling Spatial Information Diffusion

Zhuo Chen, Xinyue Ye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of ‘Charlotesville’, a topic vividly discussed over Twitter on the movement ‘Unite the Right rally’ occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.

Original languageEnglish (US)
Title of host publicationComplex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer
Pages337-348
Number of pages12
ISBN (Print)9783030366865
DOIs
StatePublished - 2020
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: Dec 10 2019Dec 12 2019

Publication series

NameStudies in Computational Intelligence
Volume881 SCI

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/TerritoryPortugal
CityLisbon
Period12/10/1912/12/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Keywords

  • Information diffusion
  • Social network
  • Space
  • Time

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